Literature DB >> 29150365

Correlation between Ultrasound Appearance of Small Breast Cancer and Axillary Lymph Node Metastasis.

Xiaoqin Yu1, Xiaoyan Hao2, Jing Wan3, Yingying Wang3, Lan Yu3, Binyue Liu4.   

Abstract

To study the correlation of ultrasonographic signs of small breast cancer (maximum diameter ≤2.0 cm) with axillary lymph node metastasis, pre-operative ultrasonographic images of 153 small breast malignant neoplasms in 143 breast cancer patients were analyzed according to their pathologic features. Of the small breast tumors included, 47 showed axillary lymph node metastasis. Diagnosis of all patients was obtained with radical axillary surgery or a sentinel lymph node biopsy procedure. Ultrasonographic signs included irregular shape, microlobulated contour, spiculation, microcalcification, posterior echo attenuation, blood-flow grade, perforating vessels, changes in fascia or cooper's ligament and maximum cortical thickness of lymph nodes. The relationship between ultrasonographic features and axillary lymph node metastasis was analyzed using a chi-square test for univariate distributions and logistic regression for multivariate analysis. A logistic regression model was established by taking the pathologic diagnosis of lymph node metastasis as the dependent variable and the ultrasonographic signs of each small breast cancer as independent variables. In small breast cancer, characteristics such as perforating vessels and maximum cortical thickness of lymph nodes >3.0 mm correlated well with axillary lymph node metastasis as determined by univariate analysis (χ2 = 13.945, 51.276, respectively, p <0.05) and multivariate analysis (OR = 48.783, 46.754, respectively, p <0.05).
Copyright © 2018 World Federation for Ultrasound in Medicine and Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast neoplasm; Logistic model; Metastasis; Ultrasonographic pattern; Ultrasound

Mesh:

Year:  2017        PMID: 29150365     DOI: 10.1016/j.ultrasmedbio.2017.09.020

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  8 in total

1.  Letter to the editor regarding "Ultrasound features of breast cancer for predicting axillary lymph node metastasis".

Authors:  Zeng Zeng
Journal:  Med Oncol       Date:  2018-10-26       Impact factor: 3.064

2.  A Convolutional Neural Network Based on Ultrasound Images of Primary Breast Masses: Prediction of Lymph-Node Metastasis in Collaboration With Classification of Benign and Malignant Tumors.

Authors:  Chunxiao Li; Yuanfan Guo; Liqiong Jia; Minghua Yao; Sihui Shao; Jing Chen; Yi Xu; Rong Wu
Journal:  Front Physiol       Date:  2022-06-02       Impact factor: 4.755

3.  Early SUVmax is the best predictor of axillary lymph node metastasis in stage III breast cancers.

Authors:  Jiangong Zhang; Xun Shi; Yong Xiao; Chao Ma; Gang Cao; Yongbo Liu; Yonggang Li
Journal:  Quant Imaging Med Surg       Date:  2021-05

4.  Establishment of Simple Nomograms for Predicting Axillary Lymph Node Involvement in Early Breast Cancer.

Authors:  Qingqing Zong; Jing Deng; Wanli Ge; Jie Chen; Di Xu
Journal:  Cancer Manag Res       Date:  2020-03-18       Impact factor: 3.989

5.  Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer.

Authors:  Si Eun Lee; Yongsik Sim; Sungwon Kim; Eun-Kyung Kim
Journal:  Ultrasonography       Date:  2020-04-01

6.  Non-invasive predictors of axillary lymph node burden in breast cancer: a single-institution retrospective analysis.

Authors:  Victoria Ngai; Justina Cheh Juan Tai; Saima Taj; Heba Khanfar; Elefterios Sfakianakis; Athanasios Bakalis; Rose Baker; Muneer Ahmed
Journal:  Breast Cancer Res Treat       Date:  2022-07-21       Impact factor: 4.624

7.  Accuracy of ultrasonographic changes during neoadjuvant chemotherapy to predict axillary lymph node response in clinical node-positive breast cancer patients.

Authors:  Zhuoxuan Li; Yiwei Tong; Xiaosong Chen; Kunwei Shen
Journal:  Front Oncol       Date:  2022-07-22       Impact factor: 5.738

8.  Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients.

Authors:  Yanwen Luo; Chenyang Zhao; Yuanjing Gao; Mengsu Xiao; Wenbo Li; Jing Zhang; Li Ma; Jing Qin; Yuxin Jiang; Qingli Zhu
Journal:  Front Oncol       Date:  2020-10-27       Impact factor: 6.244

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.